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2020 – today
- 2026
[c4]Ankita Tondwalkar, Andres Kwasinski:
Attention Accelerates Learning of Proximal Policy Optimization Reinforcement Learning in Distributed and Uncoordinated Cognitive Radio Networks. COMSNETS 2026: 491-497- 2025
- [j3]Ankita Tondwalkar
, Andres Kwasinski:
A Deep Q-Learning Algorithm With Guaranteed Convergence for Distributed and Uncoordinated Operation of Cognitive Radios. IEEE Access 13: 19678-19693 (2025) - [c3]Ankita Tondwalkar, Andres Kwasinski:
Proximal Policy Optimization in Uncoordinated and Distributed Multi-Agent Resource Allocation in Cognitive Radio Network. WiOpt 2025: 1-7 - 2024
- [j2]Ankita Tondwalkar, Pilar Andres-Maldonado, Devaki Chandramouli, Rainer Liebhart, Fernando Sanchez Moya, Troels E. Kolding, Pablo Pérez:
Provisioning Quality of Experience in 6G Networks. IEEE Access 12: 127007-127017 (2024) - 2023
- [c2]Sriparvathi Shaji Bhattathiri, Michael E. Kuhl, Ankita Tondwalkar, Andres Kwasinski:
Mulation Analysis of a Reinforcement-Learning-Based Warehouse Dispatching Method Considering due Date and Travel Distance. WSC 2023: 1830-1841 - 2022
- [j1]Anurag Thantharate, Ankita Tondwalkar, Cory C. Beard, Andres Kwasinski:
ECO6G: Energy and Cost Analysis for Network Slicing Deployment in Beyond 5G Networks. Sensors 22(22): 8614 (2022) - [i2]Ankita Tondwalkar, Andres Kwasinski:
Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation. CoRR abs/2205.13944 (2022) - 2020
- [c1]Fatemeh Shah-Mohammadi, Ankita Tondwalkar, Andres Kwasinski:
Queue-aware QoE-based Rate and Power Adaptation Over Underlay Cognitive Radio Networks: Cross-Layer Design. WTS 2020: 1-7
2010 – 2019
- 2019
- [i1]Ankita Tondwalkar, Andres Kwasinski:
Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation. CoRR abs/1911.03366 (2019)
Coauthor Index
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